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Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience

Author

Listed:
  • Jackob N. Keynan

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University)

  • Avihay Cohen

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University)

  • Gilan Jackont

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University)

  • Nili Green

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University)

  • Noam Goldway

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University)

  • Alexander Davidov

    (Medical Corps, IDF)

  • Yehudit Meir-Hasson

    (Tel-Aviv University)

  • Gal Raz

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University
    Tel-Aviv University)

  • Nathan Intrator

    (Tel-Aviv University
    Tel-Aviv University)

  • Eyal Fruchter

    (Medical Corps, IDF)

  • Keren Ginat

    (Medical Corps, IDF)

  • Eugene Laska

    (New York University Langone School of Medicine)

  • Marc Cavazza

    (University of Kent)

  • Talma Hendler

    (Tel-Aviv Sourasky Medical Center
    Tel-Aviv University
    Tel-Aviv University
    Tel-Aviv University)

Abstract

Real-time functional magnetic resonance imaging (rt-fMRI) has revived the translational perspective of neurofeedback (NF)1. Particularly for stress management, targeting deeply located limbic areas involved in stress processing2 has paved new paths for brain-guided interventions. However, the high cost and immobility of fMRI constitute a challenging drawback for the scalability (accessibility and cost-effectiveness) of the approach, particularly for clinical purposes3. The current study aimed to overcome the limited applicability of rt-fMRI by using an electroencephalography (EEG) model endowed with improved spatial resolution, derived from simultaneous EEG–fMRI, to target amygdala activity (termed amygdala electrical fingerprint (Amyg-EFP))4–6. Healthy individuals (n = 180) undergoing a stressful military training programme were randomly assigned to six Amyg-EFP-NF sessions or one of two controls (control-EEG-NF or NoNF), taking place at the military training base. The results demonstrated specificity of NF learning to the targeted Amyg-EFP signal, which led to reduced alexithymia and faster emotional Stroop, indicating better stress coping following Amyg-EFP-NF relative to controls. Neural target engagement was demonstrated in a follow-up fMRI-NF, showing greater amygdala blood-oxygen-level-dependent downregulation and amygdala–ventromedial prefrontal cortex functional connectivity following Amyg-EFP-NF relative to NoNF. Together, these results demonstrate limbic specificity and efficacy of Amyg-EFP-NF during a stressful period, pointing to a scalable non-pharmacological yet neuroscience-based training to prevent stress-induced psychopathology.

Suggested Citation

  • Jackob N. Keynan & Avihay Cohen & Gilan Jackont & Nili Green & Noam Goldway & Alexander Davidov & Yehudit Meir-Hasson & Gal Raz & Nathan Intrator & Eyal Fruchter & Keren Ginat & Eugene Laska & Marc Ca, 2019. "Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience," Nature Human Behaviour, Nature, vol. 3(1), pages 63-73, January.
  • Handle: RePEc:nat:nathum:v:3:y:2019:i:1:d:10.1038_s41562-018-0484-3
    DOI: 10.1038/s41562-018-0484-3
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